Data Scientist 3 (Product Analytics)

The Data Scientist III (Product Analytics) drives data-informed decision-making across product development. This role analyzes user behavior and product performance to uncover opportunities for optimization, improve patient experiences, and measure the effectiveness of products and AI-powered personalization features. The position partners closely with Product, Design, and Engineering teams to translate complex data into actionable insights that influence product strategy and business outcomes.

Responsibilities

• Collaborate with Product, Design, and Engineering teams to analyze user behavior and identify actionable insights.

• Design, execute, and evaluate product experiments to improve patient experiences and business outcomes.

• Conduct research to identify opportunities for product optimization.

• Define, monitor, and analyze success metrics for product features and initiatives.

• Develop scalable dashboards and reporting tools to distribute data insights across the organization.

• Communicate complex statistical analyses and findings clearly to technical and non-technical stakeholders.

• Minimum of 5 years of experience in product analytics or data science.

• Experience in healthcare, fintech, or complex e-commerce environments preferred.

• Expert-level SQL skills and strong Python proficiency for data manipulation and analysis.

• In-depth knowledge of statistical methods, experimentation, and A/B testing.

• Proven ability to collaborate effectively with Product, Design, and Engineering teams.

• Proactive, user-focused mindset with a strong commitment to improving customer experiences.

• Familiarity with modern data tools such as dbt, Looker, or Hex preferred.

• Authorization to work full-time in the United States.

Pay Range and Compensation Package

• Salary range of $153,000 to $180,000 per year.

• Eligibility for bonus and equity participation.

• Competitive benefits and wellness package.

Benefits & Perks

• Unlimited PTO for vacation, sick time, and mental health days.

• 16 weeks of paid parental leave with continued health benefits and flexible return-to-work schedules.

• 401(k) plan with 100% company matching up to 3% of annual compensation.

• Fertility and adoption assistance with health benefits available promptly.

• Diversity and inclusion initiatives, including employee resource groups.

• Flexible work arrangements, including remote options.

• Mentorship, coaching, and learning and development opportunities.

The organization operates within the healthcare financial technology sector, addressing the financial challenges created by rising healthcare costs in the United States. It combines data science, artificial intelligence, and consumer-focused design to improve healthcare affordability and accessibility. Its platform enhances patient payment and engagement experiences through analytics and machine learning, helping healthcare providers deliver more personalized interactions and improve outcomes for millions of patients.